Xiaonan Lu 
Sensing Techniques for Food Safety and Quality Control [PDF ebook] 

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Providing an updated summary of the application of different types of sensors for the analysis of food safety and quality, this book discusses the core principles, current research status, challenges and successful examples for each technology. In addition, the prospective and future trends for each topic are covered in each chapter. The editor and contributors are all experts in designing and constructing different types of sensors in food analysis, mainly focusing on the determination of food safety and quality.

Sensors, as a new generation of detection technique, have many advantages and the application of sensors in food analysis will continue to grow in the next decades. However, until now, there has been no book providing the detailed characterization and summary of sensors in food safety and quality analysis that this book provides. It is vital reading for academic researchers and practising professionals in Food Science, Agricultural Engineering, Biological Systems Engineering, Food Safety, Food Quality and Food Analysis who are using sensors in their work.
€229.99
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表中的内容

Introduction; Raman Spectroscopic Sensing in Food Safety and Quality Analysis; Quantum Dots in the Analysis of Food Safety and Quality; Microfluidic ‘lab-on-a-chip’ Sensing in Food Safety and Quality Analysis; Paper-fluidic Based Sensing in Food Safety and Quality Analysis; Colorimetric-based Sensing in Food Safety and Quality Analysis; ELISA-based Sensing in Food Safety and Quality Analysis; Molecularly-imprinted Polymers-based Sensing in Food Safety and Quality Analysis; Aptamer-based Sensing Techniques for Food Safety and Quality; Carbon Nanotube Sensing in Food Safety and Quality Analysis; Graphene-electrochemical Sensing in Food Safety and Quality Analysis; Smartphone-based Sensing in Food Safety and Quality Analysis
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语言 英语 ● 格式 PDF ● 网页 382 ● ISBN 9781788010528 ● 文件大小 14.3 MB ● 编辑 Xiaonan Lu ● 出版者 Royal Society of Chemistry ● 发布时间 2017 ● 版 1 ● 下载 24 个月 ● 货币 EUR ● ID 5391707 ● 复制保护 Adobe DRM
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